Update app.py

app.py

@@ -12,10 +12,8 @@ NON_BENCHMARK_COLS = ["Open?", "Publisher"]
 
 def extract_table_and_format_from_markdown_text(markdown_table: str) -> pd.DataFrame:
     """Extracts a table from a markdown text and formats it as a pandas DataFrame.
-
     Args:
         text (str): Markdown text containing a table.
-
     Returns:
         pd.DataFrame: Table as pandas DataFrame.
     """
@@ -39,15 +37,12 @@ def extract_table_and_format_from_markdown_text(markdown_table: str) -> pd.DataF
 
 def extract_markdown_table_from_multiline(multiline: str, table_headline: str, next_headline_start: str = "#") -> str:
     """Extracts the markdown table from a multiline string.
-
     Args:
         multiline (str): content of README.md file.
         table_headline (str): Headline of the table in the README.md file.
         next_headline_start (str, optional): Start of the next headline. Defaults to "#".
-
     Returns:
         str: Markdown table.
-
     Raises:
         ValueError: If the table could not be found.
     """
@@ -92,14 +87,11 @@ def remove_markdown_links(text: str) -> str:
 def filter_dataframe_by_row_and_columns(df: pd.DataFrame, ignore_columns: list[str] | None = None) -> pd.DataFrame:
     """
     Filter dataframe by the rows and columns to display.
-
     This does not select based on the values in the dataframe, but rather on the index and columns.
     Modified from https://blog.streamlit.io/auto-generate-a-dataframe-filtering-ui-in-streamlit-with-filter_dataframe/
-
     Args:
         df (pd.DataFrame): Original dataframe
         ignore_columns (list[str], optional): Columns to ignore. Defaults to None.
-
     Returns:
         pd.DataFrame: Filtered dataframe
     """
@@ -127,12 +119,9 @@ def filter_dataframe_by_row_and_columns(df: pd.DataFrame, ignore_columns: list[s
 def filter_dataframe_by_column_values(df: pd.DataFrame) -> pd.DataFrame:
     """
     Filter dataframe by the values in the dataframe.
-
     Modified from https://blog.streamlit.io/auto-generate-a-dataframe-filtering-ui-in-streamlit-with-filter_dataframe/
-
     Args:
         df (pd.DataFrame): Original dataframe
-
     Returns:
         pd.DataFrame: Filtered dataframe
     """
@@ -190,7 +179,7 @@ def filter_dataframe_by_column_values(df: pd.DataFrame) -> pd.DataFrame:
 
 
 def setup_basic():
-    title = "🏆 Swahili-LLM-Leaderboard"
+    title = "🏆 LLM-Leaderboard"
 
     st.set_page_config(
         page_title=title,
@@ -200,9 +189,9 @@ def setup_basic():
     st.title(title)
 
     st.markdown(
-        "A joint community effort to create a Swahili central leaderboard for LLMs."
+        "A joint community effort to create one central leaderboard for LLMs."
         f" Visit [swahili-llm-leaderboard]({GITHUB_URL}) to contribute.  \n"
-        # 'We refer to a model being "open" if it can be locally deployed and used for commercial purposes.'
+        'We refer to a model being "open" if it can be locally deployed and used for commercial purposes.'
     )
 
 
@@ -275,23 +264,9 @@ def setup_sources():
     - [lmsys.org - Chatbot Arena benchmarks](https://lmsys.org/blog/2023-05-03-arena/)
     - [Papers With Code](https://paperswithcode.com/)
     - [Stanford HELM](https://crfm.stanford.edu/helm/latest/)
-     - [Stanford HELM](https://crfm.stanford.edu/helm/latest/)
     - [HF Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
     """
     )
-def setup_Sponsorship():
-    st.markdown("## Sponsorship")
-    st.markdown(
-        # "The results of this leaderboard are collected from the individual papers and published results of the model "
-        # "authors. If you are interested in the sources of each individual reported model value, please visit the "
-        # f"[llm-leaderboard]({GITHUB_URL}) repository."
-        "The benchmark is English-based, and we need support translating it into Swahili." 
-        "We welcome sponsorships to help advance this endeavor."
-        "Your sponsorship would facilitate this essential translation effort, bridging language barriers and making the benchmark "
-        "accessible to a broader audience. We're grateful for the dedication shown by our collaborators and aim to extend this impact "
-        "further with the support of sponsors committed to advancing language technologies."
-        "Any support please reach me: msamwelmollel@gmail.com"
-    )
 
 def setup_Contribution():
     st.markdown("## How to Contribute")
@@ -306,8 +281,21 @@ def setup_Contribution():
       - Requesting and implementing new features
     """
     st.markdown(markdown_content)
-
     
+def setup_Sponsorship():
+    st.markdown("## Sponsorship")
+    st.markdown(
+        # "The results of this leaderboard are collected from the individual papers and published results of the model "
+        # "authors. If you are interested in the sources of each individual reported model value, please visit the "
+        # f"[llm-leaderboard]({GITHUB_URL}) repository."
+        "The benchmark is English-based, and we need support translating it into Swahili." 
+        "We welcome sponsorships to help advance this endeavor."
+        "Your sponsorship would facilitate this essential translation effort, bridging language barriers and making the benchmark "
+        "accessible to a broader audience. We're grateful for the dedication shown by our collaborators and aim to extend this impact "
+        "further with the support of sponsors committed to advancing language technologies."
+        "Any support please reach me: msamwelmollel@gmail.com"
+    )
+
 
 def setup_disclaimer():
     st.markdown("## Disclaimer")
@@ -326,12 +314,12 @@ def setup_footer():
     )
 
 
-
 def main():
     setup_basic()
 
     with open("README.md", "r") as f:
         readme = f.read()
+  
 
     setup_leaderboard(readme)
     # setup_benchmarks(readme)